Data Pipeline Architect

Smartsearchonline; Dearborn, Northern (MI, KY); Hybrid; USD 96,000 - 103,000; Full time

Job summary

Stefanini Group is hiring a Data Pipeline Architect in Dearborn, MI to design, build, and manage scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Pub/Sub. You will focus on data governance, security, and performance within a modern cloud data platform.

The role requires 5–7 years in Data/Software Engineering with cloud experience, strong SQL/Java/Python skills, and expertise in GCP services and IaC tools like Terraform.

Qualifications

• Experience designing and building data pipelines for analytics.
• Proficiency in SQL, Java, Python and cloud data platforms.
• Experience with GCP services like BigQuery, Dataflow, Pub/Sub and data governance.

Responsibilities

• Design, build, and maintain scalable data ingestion and curation pipelines on GCP.
• Collaborate with data architects and cross-functional teams to ensure data quality and governance.
• Automate and optimize data workflows and deployments using IaC tools like Terraform.

Skills

Data/Analytics dashboards

GCP

Education

Bachelor's degree

Job description

Job Details

Information Technology

Data Pipeline Architect Dearborn,MI Posted:9/29/2026

Job Description

Job ID#: 65060

Job Category: Information Technology

Position Type: Contract

Duration: Long Term

Remaining Positions: 1

Stefanini Group is hiring!

Stefanini is looking for Data Pipeline Architect, Dearborn, MI

We're seeking a highly skilled and experienced Full Stack Data Engineer/Architect to play a pivotal role in the development and maintenance of our Enterprise Data Platform. In this role, you'll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. You'll work with GCP Native technologies like BigQuery, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance.

Responsibilities

• Data Pipeline Architect & Builder: Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized, high-quality, and optimized for analytical use. Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and efficient data pipelines.
• End-to-End Integration Expert: Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
• GCP Data Solutions Leader: Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations.
• Data Governance & Security Champion: Implement and manage robust data governance policies, access controls, and security best practices, fully utilizing GCP's native security features to protect sensitive data.
• Data Workflow Orchestrator: Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as Code (IaC).
• Performance Optimization Driver: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
• Collaborative Innovator: Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
• Automation & Reliability Advocate: Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.

Job Requirements Details

Skills Required

• Data/Analytics dashboards

Skills Preferred

• GCP

Experience Required

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience).
• 5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands‑on experience building and deploying cloud-based data platforms (GCP preferred).
• Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery, Dataflow, and DataProc.
• Solid understanding of Service-Oriented Architecture (SOA) and microservices, and their application within a cloud data platform.
• Experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases, and columnar databases (e.g., BigQuery).
• Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues.
• Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).

Education Required

• Bachelor's Degree

Education Preferred

• Master's Degree

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

Pay Range

$ 70.00 - $ 75.00